Ajania purpurea Shih attenuates glutamate-induced damage by preventing oxidative stress and neuronal apoptosis via the Nrf2/HO-1 pathway in HT22 cells

Xinyu Li; Zhuoma Dongzhi; Minzhu Wang; Shan Huang; Bin Li

doi:10.1117/12.2660543

6 December 2022 Ajania purpurea Shih attenuates glutamate-induced damage by preventing oxidative stress and neuronal apoptosis via the Nrf2/HO-1 pathway in HT22 cells

Xinyu Li, Zhuoma Dongzhi, Minzhu Wang, Shan Huang, Bin Li

Author Affiliations +

Proceedings Volume 12458, International Conference on Biomedical and Intelligent Systems (IC-BIS 2022); 124580X (2022) https://doi.org/10.1117/12.2660543
Event: International Conference on Biomedical and Intelligent Systems, 2022, Chengdu, China

Abstract

Ajania purpurea Shih is a plant of the genus Ajania endemic to Tibet. As an ornamental plant, it has not been investigated for its pharmacological activity. In this study, HPLC analysis of 70% ethanol extracts of A. purpurea (EAPS) identified two major compounds, chlorogenic acid and piperine. We evaluated the cytoprotective activity and antioxidant effects of EAPS by examining the production of oxidative-stress-related mediators, including ROS, superoxide dismutase, and catalase, in glutamate-induced HT22 cells. JC-1 and TUNEL staining revealed that EAPS attenuated intracellular mitochondrial depolarization and subsequent apoptotic protein expression. Most importantly, EAPS promoted the nuclear translocation of Nrf2 and deliverance of HO-1 in HT22 cells. EAPS also inhibited glutamate-induced cytotoxicity and ROS production, which was partly changed by siRNA HO-1. These results intimate the effective cytoprotective and neuroprotective vitality of A. purpurea, peradventure via the adjustment of the Nrf2/HO-1 signaling pathway.

Citation Download Citation

Xinyu Li, Zhuoma Dongzhi, Minzhu Wang, Shan Huang, and Bin Li "Ajania purpurea Shih attenuates glutamate-induced damage by preventing oxidative stress and neuronal apoptosis via the Nrf2/HO-1 pathway in HT22 cells", Proc. SPIE 12458, International Conference on Biomedical and Intelligent Systems (IC-BIS 2022), 124580X (6 December 2022); https://doi.org/10.1117/12.2660543

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KEYWORDS

Electroactive polymers

Cell death

Luminescence

Proteins

Computed tomography

Medicine

Statistical analysis

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